Reliability assesment of distribution systems with distributed generation based on Bayesian networks

Authors

  • Liai Gao
  • Yongjie Zhou
  • Congcong Li
  • Limin Huo

Keywords:

distributed generation, distribution system, reliability assessment, Bayesian networks, artificial intelligence

Abstract

Reliability assessment is of primary importance in designing and planning distribution systems that operate in an economical manner with minimal interruption of customer loads. Distributed generation (DG) units are subject to failures as all other generation units, the random behavior of these units must be taken into account in the analysis. In this paper, a new method based on Bayesian Networks is introduced for reliability analysis of distribution systems with distributed generation. The method permits not only computing the reliability indices of a distribution system but also presenting the effect of each component or some components on the system reliability. Thus the shortcomings of traditional reliability assessment methods are overcome. The impacts of DG units, their location, DG unit capacity in each location and their availability, on distribution system reliability are investigated using a study case of distribution including distributed generation.

Downloads

Published

2014-01-15

Issue

Engineering Review, Vol. 34, No. 1

Section

Articles

License

Copyright 2022 by Faculty of Engineering University of Rijeka, Faculty of Civil Engineering University of Rijeka. All rights reserved. This material may not be reproduced or copied, in whole or in part, in any printed, mechanical, electronic, film, or other distribution and storage media without the written consent of the publisher.

The journal Engineering Review’s publishing procedure is performed in accordance with the publishing ethics statements, defined within the Publishing Ethics Resource Kit. The Ethics statement is available in the document Ethics Policies.